Evidence map›Paper›PMID 38715094›Full record

ArticleImplementation science : IS2024

Understanding pathways from implementation to sustainment: a longitudinal, mixed methods analysis of promising practices implemented in the Veterans Health Administration.

Andrea L Nevedal, Marilla A Opra Widerquist, Caitlin M Reardon, Maria Arasim, George L Jackson, Brandolyn White, Madison Burns, Gemmae M Fix, Kathryn DeLaughter, Sarah L Cutrona and 6 more

Abstract read
In one paragraph

Article in Implementation science : IS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Andrea L NevedalCenter for Clinical Management Research (CCMR), Veterans Affairs Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA. Andrea.Nevedal@va.gov.ORCID 0000-0003-3859-8493
Marilla A Opra WiderquistCenter for Clinical Management Research (CCMR), Veterans Affairs Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA.
Caitlin M ReardonCenter for Clinical Management Research (CCMR), Veterans Affairs Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA.
Maria ArasimCenter for Clinical Management Research (CCMR), Veterans Affairs Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA.
George L JacksonCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, USA.
Brandolyn WhiteCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, USA.
Madison BurnsCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, USA.
Gemmae M FixCenter for Healthcare Organization & Implementation Research (CHOIR), Bedford & Boston Veterans Affairs Medical Centers, Bedford & Boston, MA, USA.
Kathryn DeLaughterCenter for Healthcare Organization & Implementation Research (CHOIR), Bedford & Boston Veterans Affairs Medical Centers, Bedford & Boston, MA, USA.
Sarah L CutronaCenter for Healthcare Organization & Implementation Research (CHOIR), Bedford & Boston Veterans Affairs Medical Centers, Bedford & Boston, MA, USA.
Allen L GiffordCenter for Healthcare Organization & Implementation Research (CHOIR), Bedford & Boston Veterans Affairs Medical Centers, Bedford & Boston, MA, USA.
Guneet K JasujaCenter for Healthcare Organization & Implementation Research (CHOIR), Bedford & Boston Veterans Affairs Medical Centers, Bedford & Boston, MA, USA.
Timothy P HoganPeter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Heather A KingCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, USA.
Blake HendersonInnovation Ecosystem, United States Veterans Health Administration, Washington, DC, USA.
Laura J DamschroderCenter for Clinical Management Research (CCMR), Veterans Affairs Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Veterans Health Administration (VHA) is the United States largest learning health system. The Diffusion of Excellence (DoE) program is a large-scale model of diffusion that identifies and diffuses evidence-informed practices across VHA. During the period of 2016-2021, 57 evidence-informed practices were implemented across 82 VHA facilities. This setting provides a unique opportunity to understand sustainment determinants and pathways. Our objective was to characterize the longitudinal pathways of practices as they transition from initial implementation to long-term sustainment at each facility.

methodsA longitudinal, mixed-methods evaluation of 82 VHA facilities. Eighty-two facility representatives, chosen by leadership as points-of-contact for 57 DoE practices, were eligible for post-implementation interviews and annual sustainment surveys. Primary outcomes (implementation, sustainment), and secondary outcomes (institutionalization, effectiveness, anticipated sustainment) at four time-points were collected. We performed descriptive statistics and directed content analysis using Hailemariam et al.'s factors influencing sustainment.

resultsAfter approximately five years post-implementation (e.g., 2021 sustainment outcomes), of the 82 facilities, about one-third fully sustained their practice compared to one-third that did not fully sustain their practice because it was in a "liminal" stage (neither sustained nor discontinued) or permanently discontinued. The remaining one-third of facilities had missing 2021 sustainment outcomes. A higher percentage of facilities (70%) had inconsistent primary outcomes (changing over time) compared to facilities (30%) with consistent primary outcomes (same over time). Thirty-four percent of facilities with sustained practices reported resilience since they overcame implementation and sustainment barriers. Facilities with sustained practices reported more positive secondary outcomes compared to those that did not sustain their practice. Key factors facilitating practice sustainment included: demonstrating practice effectiveness/benefit, sufficient organizational leadership, sufficient workforce, and adaptation/alignment with local context. Key factors hindering practice sustainment included: insufficient workforce, not able to maintain practice fidelity/integrity, critical incidents related to the COVID-19 pandemic, organizational leadership did not support sustainment of practice, and no ongoing support.

conclusionsWe identified diverse pathways from implementation to sustainment, and our data underscore that initial implementation outcomes may not determine long-term sustainment outcomes. This longitudinal evaluation contributes to understanding impacts of the DoE program, including return on investment, achieving learning health system goals, and insights into achieving high-quality healthcare in VHA.

Indexed as

United States Department of Veterans AffairsCOVID-19Diffusion of InnovationEvidence-Based PracticeHumansImplementation ScienceLongitudinal StudiesProgram EvaluationUnited StatesConsolidated Framework for Implementation Research (CFIR), Qualitative Methods, Mixed MethodsImplementationImplementation outcomesLongitudinalMaintenanceSurveySustainabilitySustainmentSustainment determinantsSustainment outcomes

Identifiers

PMID38715094
PMCPMC11075255

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.